NeurIPS 2024

4,493 papers

Flatten Anything: Unsupervised Neural Surface Parameterization

Qijian Zhang, Junhui Hou, Wenping Wang, Ying He

The Surprising Effectiveness of SP Voting with Partial Preferences

Hadi Hosseini, Debmalya Mandal, Amrit Puhan

Retrieval-Augmented Diffusion Models for Time Series Forecasting

Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong

Autonomous Agents for Collaborative Task under Information Asymmetry

Wei Liu, Chenxi Wang, Yifei Wang, Zihao Xie, Rennai Qiu

A Walsh Hadamard Derived Linear Vector Symbolic Architecture

Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates

Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan

Credit Attribution and Stable Compression

Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju

Beyond Accuracy: Tracking more like Human via Visual Search

Dailing Zhang, Shiyu Hu, Xiaokun Feng, Xuchen Li, Meiqi Wu

Faster Local Solvers for Graph Diffusion Equations

Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao

BERTs are Generative In-Context Learners

David Samuel

Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems

Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten, Pietro Ferraro

Differentially Private Equivalence Testing for Continuous Distributions and Applications

Daniel Omer, Or Sheffet

Using Unity to Help Solve Reinforcement Learning

Connor Brennan, Andrew Robert Williams, Omar G. Younis, Vedant Vyas, Daria Yasafova

AdjointDEIS: Efficient Gradients for Diffusion Models

Zander W. Blasingame, Chen Liu

Data Distribution Valuation

Xinyi Xu, Shuaiqi Wang, Bryan Kian Hsiang Low, Giulia Fanti, Chuan Sheng Foo

Multi-Label Learning with Stronger Consistency Guarantees

Anqi Mao, Mehryar Mohri, Yutao Zhong

Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning

Shentong Mo, Shengbang Tong

Overcoming Common Flaws in the Evaluation of Selective Classification Systems

Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein

Online Learning of Delayed Choices

Recep Yusuf Bekci

SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization

Wanhua Li, Zibin Meng, Jiawei Zhou, Donglai Wei, Chuang Gan

WildPPG: A Real-World PPG Dataset of Long Continuous Recordings

Manuel Meier, Berken Utku Demirel, Christian Holz

Gliding over the Pareto Front with Uniform Designs

Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen

AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data

Zifan Song, Yudong Wang, Wenwei Zhang, Kuikun Liu, Chengqi Lyu

Omnigrasp: Grasping Diverse Objects with Simulated Humanoids

Zhengyi Luo, Jinkun Cao, Sammy Christen, Alexander Winkler, Kris Kitani

Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba

Haoye Dong, Aviral Chharia, Wenbo Gou, Francisco Vicente Carrasco, Fernando De la Torre

An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval

Huilong Jin, Yingxue Zhang, Lei Shi, Shuang Zhang, Feifei Kou

Test-Time Dynamic Image Fusion

Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition

Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew Luo

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch

Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting

Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation

Felipe Garrido-Lucero, Benjamin Heymann, Maxime Vono, Patrick Loiseau, Vianney Perchet

Structured flexibility in recurrent neural networks via neuromodulation

Julia C. Costacurta, Shaunak Bhandarkar, David Zoltowski, Scott W. Linderman

einspace: Searching for Neural Architectures from Fundamental Operations

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey

Voila-A: Aligning Vision-Language Models with User's Gaze Attention

Kun Yan, Zeyu Wang, Lei Ji, Yuntao Wang, Nan Duan

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao

MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes

Zhenhui Ye, Tianyun Zhong, Yi Ren, Ziyue Jiang, Jiawei Huang

AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases

Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du

Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms

Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman

D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models

Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, Chao Zhang

Reciprocal Learning

Julian Rodemann, Christoph Jansen, Georg Schollmeyer

Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL

Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian

Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems

Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

Provably Safe Neural Network Controllers via Differential Dynamic Logic

Samuel Teuber, Stefan Mitsch, André Platzer

MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs

Quentin Leboutet, Nina Wiedemann, zhipeng cai, Michael Paulitsch, Kai Yuan

Context and Geometry Aware Voxel Transformer for Semantic Scene Completion

Zhu Yu, Runmin Zhang, Jiacheng Ying, Junchen Yu, Xiaohai Hu

Efficient Adversarial Training in LLMs with Continuous Attacks

Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn

HelpSteer 2: Open-source dataset for training top-performing reward models

Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen

SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models

Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang

Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire

Yanzhi Li, Keqiu Li, Guohui Li, Zumin Wang, Changqing Ji

Causal vs. Anticausal merging of predictors

Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing

Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu

Causal Contrastive Learning for Counterfactual Regression Over Time

Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède

DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion

Weicai Ye, Chenhao Ji, Zheng Chen, Junyao Gao, Xiaoshui Huang

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao

SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision

Kseniya Cherenkova, Elona Dupont, Anis Kacem, Gleb Gusev, Djamila Aouada

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola E. Olatunji, Michael Backes

DiTFastAttn: Attention Compression for Diffusion Transformer Models

Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang

LLaNA: Large Language and NeRF Assistant

Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano

Unified Lexical Representation for Interpretable Visual-Language Alignment

Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang

GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

Yu Zhang, Changhao Pan, Wenxiang Guo, Ruiqi Li, Zhiyuan Zhu

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection

Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation

Jin Woo Lee, Jaehyun Park, Min Jun Choi, Kyogu Lee

SPO: Sequential Monte Carlo Policy Optimisation

Matthew V Macfarlane, Edan Toledo, Donal Byrne, Paul Duckworth, Alexandre Laterre

Prospective Representation Learning for Non-Exemplar Class-Incremental Learning

Wuxuan Shi, Mang Ye

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate

Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas

FINALLY: fast and universal speech enhancement with studio-like quality

Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev, Ivan Shchekotov, Hanbin Bae

Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens

Ruifeng Ren, Yong Liu

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shariar

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan

Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders

Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling

Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo

Community Detection Guarantees using Embeddings Learned by Node2Vec

Andrew Davison, S. Carlyle Morgan, Owen G. Ward

VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li

Slot-VLM: Object-Event Slots for Video-Language Modeling

Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu

AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling

Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning

Yuxuan Duan, Yan Hong, Bo Zhang, jun lan, Huijia Zhu

DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang

Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality

Audrey Huang, Nan Jiang

UQ-Guided Hyperparameter Optimization for Iterative Learners

Jiesong Liu, Feng Zhang, Jiawei Guan, Xipeng Shen

Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle

Shangzi Xue, Zhenya Huang, Jiayu Liu, Xin lin, Yuting Ning

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs

Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy

Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen

Robust Sparse Regression with Non-Isotropic Designs

Chih-Hung Liu, Gleb Novikov

Learning Place Cell Representations and Context-Dependent Remapping

Markus Pettersen, Frederik Rogge, Mikkel Elle Lepperød

Mixtures of Experts for Audio-Visual Learning

Ying Cheng, Yang Li, Junjie He, Rui Feng

Enhancing Chess Reinforcement Learning with Graph Representation

Tomas Rigaux, Hisashi Kashima

Improved Regret for Bandit Convex Optimization with Delayed Feedback

Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang

Fair Wasserstein Coresets

Zikai Xiong, Niccolò Dalmasso, shubham sharma, Freddy Lecue, Daniele Magazzeni

How does PDE order affect the convergence of PINNs?

Changhoon Song, Yesom Park, Myungjoo Kang

GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning

Yanbin Wei, Shuai Fu, Weisen Jiang, Zejian Zhang, Zhixiong Zeng

MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence

Ionut-Vlad Modoranu, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert